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A novel algorithm for simultaneous modulation format/bit‐rate classification and non‐data‐aided (NDA) signal‐to‐noise ratio (SNR) estimation in multipath fading channels by applying deep machine learning‐based pattern recognition on signals' asynchronous delay‐tap plots (ADTPs) is proposed. The results for three widely‐used modulation formats at two different bit‐rates demonstrate classification accuracy of 99.8%. In addition, NDA SNR estimation over a wide range of 0−30 dB is shown with mean error of 1 dB. The proposed method requires low‐speed, asynchronous sampling of signal and is thus ideal for low‐cost multiparameter estimation under real‐world channel conditions. [ABSTRACT FROM AUTHOR]